Update app.py

app.py

@@ -106,6 +106,7 @@ def process_excel(file, places_column):
         geocoder = SafeGeocoder()
         coords = []
         processed_count = 0
+        location_cache = {}  # Cache to ensure consistent coordinates
         
         # Process each row
         for idx, row in df.iterrows():
@@ -126,7 +127,14 @@ def process_excel(file, places_column):
             # Process each location in the comma-separated list
             location_rows_added = False
             for loc in locations:
-                point = geocoder.get_coords(loc)
+                # Use cached coordinates if available
+                if loc in location_cache:
+                    point = location_cache[loc]
+                else:
+                    point = geocoder.get_coords(loc)
+                    if point:
+                        location_cache[loc] = point  # Cache the result
+                
                 if point:
                     # Create a new row for this location
                     new_row = row.copy()
@@ -170,10 +178,24 @@ def process_excel(file, places_column):
         # Add markers directly here
         marker_cluster = MarkerCluster(name="Locations").add_to(m)
         
+        # Track which coordinates we've already placed on the map
+        seen_coords = {}
+        
         for idx, row in expanded_df.iterrows():
             if 'latitude' in row and 'longitude' in row and not pd.isna(row['latitude']) and not pd.isna(row['longitude']):
                 location = row[places_column] if not pd.isna(row[places_column]) else "Unknown"
                 
+                # Round coordinates to reduce small differences
+                rounded_lat = round(row['latitude'], 5)
+                rounded_lng = round(row['longitude'], 5)
+                coord_key = f"{rounded_lat},{rounded_lng}"
+                
+                # Skip if we've already added a marker at this location
+                if coord_key in seen_coords:
+                    continue
+                
+                seen_coords[coord_key] = True
+                
                 additional_info = ""
                 for col in expanded_df.columns:
                     if col not in [places_column, 'latitude', 'longitude'] and not pd.isna(row[col]):